code: def test_regression_error_on_predict_query_missing_cols(
      self, mock_handler
  ):
      # dataset, string values
      df = pd.DataFrame(range(1, 50), columns=["a"])
      df["b"] = 50 - df.a
      df["c"] = round((df["a"] * 3 + df["b"]) / 50)
      df["d"] = np.where(df.index % 2, "even", "odd")
  
      self.set_handler(mock_handler, name="pg", tables={"df": df})
  
      # create project
      self.run_sql("create database proj")
  
      # create predictor
      self.run_sql(
          """
             create model proj.modelx
             from pg (select * from df)
             predict c
             using
               engine='autokeras',
               train_time=0.01
          """
      )
      self.wait_predictor("proj", "modelx")
  
      try:
          # run predict but missing column d in the WHERE clause
          _ = self.run_sql(
              """
              SELECT c
              FROM proj.modelx
              WHERE a=1
              AND b=2;
              """
          )
          assert False
      except Exception:
          assert True
  
file_path: mindsdb/tests/unit/ml_handlers/test_autokeras.py
imports: import time
  from unittest.mock import patch
  import pandas
  import numpy
  from mindsdb_sql import parse_sql
  from mindsdb.integrations.handlers.autokeras_handler.autokeras_handler import format_categorical_preds
  from tests.unit.executor_test_base import BaseExecutorTest
label_desc: Use image node_id 7 for calling the TestAutokeras obj's underlying member method code with example usage: obj.test_regression_error_on_predict_query_missing_cols(mock_handler) without return types